JCU Logo

James Cook University Subject Handbook - 2024

For subject information from 2025 and onwards, please visit the new JCU Course and Subject Handbook website.

MA2830 - Data Visualisation

Credit points:03
Year:2024
Student Contribution Band:Band 1
Administered by:1555

Subject Description

    We have entered the era of big data. The ability to take data - to be able to understand it, to process it, to extract value from it, to visualise it, to communicate it - that will be a hugely important skill in the next decades. Data visualisation plays an important role in data science. Data visualisation investigates paradigm and techniques to transform various data into images that effectively and accurately represent information about the data. This course will introduce students to the fundamentals of data visualisation that focus on how data visualisation can solve a wide range of practical data interpretation problems arising in many applications. It will include the following topics: basic concepts of data visualisation, data representation & abstraction, marks and channels, visualisation design and analysis of techniques, interaction visualisation design, and advanced topics for visualisation. In addition to basic concepts, design approaches and techniques of data visualisation.

Learning Outcomes

  • demonstrate sound knowledge of the basic theory, principles and concepts that underpin data visualisation techniques and strategies
  • apply related Visualisation principles and approaches to analyse, evaluate and improve visualisation
  • demonstrate effective skills to create interactive visualisation
  • apply storytelling principles for designing and effective communications
  • employ software (Tableau) to analyse and visualise data, and design and implement visualisation projects

Subject Assessment

  • Written > Test/Quiz 1 - (25%) - Individual
  • Written > Case study analysis - (50%) - Individual
  • Written > Problem task - (25%) - Individual

Note that minor variations might occur due to the continuous subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.

Availabilities

Cairns Nguma-bada, Study Period 1, Internal

Census date:Thursday, 21 Mar 2024
Study Period Dates:Monday, 19 Feb 2024 to Friday, 14 Jun 2024
Coordinator(s):
Professor Yvette Everingham
Lecturer(s):
Professor Yvette Everingham
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 26 Hours - Online activity
  • 13 Hours - Online Workshops

JCU Singapore, Trimester 2, Internal

Usually available in even-numbered years.

Census date:Thursday, 13 Jun 2024
Study Period Dates:Monday, 20 May 2024 to Saturday, 24 Aug 2024
Coordinator(s):
Professor Yvette Everingham
Lecturer(s):
MR Hai Kian Loh
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 26 Hours - Lectures
  • 13 Hours - Workshops

Townsville Bebegu Yumba, Study Period 1, Internal

Census date:Thursday, 21 Mar 2024
Study Period Dates:Monday, 19 Feb 2024 to Friday, 14 Jun 2024
Coordinator(s):
Professor Yvette Everingham
Lecturer(s):
Professor Yvette Everingham
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 26 Hours - Online activity
  • 13 Hours - Online Workshops